System and method for sensing capacitance change of a capacitive sensor

ABSTRACT

The present invention relates to systems and methods for sensing capacitance change of a capacitive sensor and for optimizing a capacitive sensing circuit. In an exemplary embodiment, a capacitive sensor may be coupled to an amplifier at floating node. A programming circuit is connected to the floating node for controlling a charge on the floating node. A method of controlling the charge of the floating node is also provided. The method includes applying a first predetermined voltage to a source of a programming transistor, applying a second predetermined voltage to a floating gate of the programming transistor, and applying a third predetermined voltage to a drain of the programming transistor until a charge on the floating gate of the programming transistor reaches a predetermined value. The charge on the floating gate of the programming transistor drives the charge on the floating node to the predetermined value, and thus is controlled.

CROSS REFERENCE TO RELATED APPLICATION

This application claims priority of U.S. Provisional Patent Application No. 60/686,825, filed 2 Jun. 2005, the entire contents of which is hereby incorporated by reference.

BACKGROUND

1. Field of the Invention

The present invention is related to a capacitive sensing circuit and, more particularly, to a capacitive feedback amplifier with a floating-node charge programming circuit for sensing capacitance change of a capacitive sensor.

2. Description of Related Art

In the design of Microsystems, it is frequently desirable to utilize sensors to transduce some information into electrical signals which can be processed by the circuit. Such sensors sense various types of signals and may be used for capturing information such as temperature, pressure, voltage, capacitance, resistance, or the like. For example, the sensor may be a MEMS sensor, a CMUT (capacitive micro-machined ultrasonic transducer), a temperature sensor, or the like.

The signal that a sensor senses may require amplification for proper interaction with processing circuitry. Consequently, a sensor may typically be coupled to an amplifier. This may be implemented using a two chip hybrid approach. When connecting a sensor to an amplifier, there is usually a large parasitic capacitance at the connection. This parasitic capacitance may be shunted to ground.

Typically, a capacitive sensor represents sensed changes by outputting a variable capacitance. This change in capacitance is typically small. Thus, it may be significantly affected by the parasitic capacitance.

The connection between the sensor and the amplifier may be referred to as a connecting node. Charges may be trapped inside or may hop through a leaky medium of the sensor. Further, the charges may leak out from bonding sites and form undesired leakage currents. Therefore, the charge on the connecting node is unpredictable. Sensing the minute capacitor variation, dealing with the large parasitic capacitance and leakage currents, and providing the output signal with large dynamic range makes the interface circuit design a challenge. It is even more difficult if low power consumption is desired.

FIG. 1A is a schematic diagram illustrating a conventional approach to capacitive sensing using a lock-in scheme. A high frequency signal 172 is coupled to a first terminal of the capacitive sensor 174 (depicted as MEMS Sensor). The high frequency signal 172 modulates the capacitance change of the capacitive sensor 174 into high frequency band. A second terminal of the capacitive circuit 174 is connected to an inverting input 176 i of an amplifier 176. A parasitic capacitor 178 may be connected to the inverting input 176 i of the amplifier 176, and to ground 180. The non-inverting input 176 n of the amplifier 176 can be connected to ground 180. The output 176 o of the amplifier 176 can be demodulated by a demodulator 182. The demodulator 182 is also connected to the high frequency signal 172. The output 182 o of the demodulator is coupled to a low-pass filter 184, which outputs an output voltage V_(out) 186.

A capacitance change signal is modulated to the high frequency band by applying a high frequency signal 172 at the first terminal of the capacitive sensor 174. This modulated high frequency signal is then amplified by the amplifier 176, and demodulated by the demodulator 182 back to a low frequency band. The low-pass filter 184 removes other high frequency harmonics. The output voltage V_(out) 186 is proportional to the sensing capacitance 174, i.e., V_(out) ∝C_(sensor). This approach consumes lots of power, usually in the range of milli-Watts (mW), and the circuits are typically be complicated and consume a large area.

Another common approach to detecting capacitive change is the switched-capacitor circuit having a capacitive feedback charge amplifier. FIG. 1B is a schematic diagram illustrating a capacitive feedback charge amplifier circuit. The circuit 100 is fed by an input voltage V_(in) 105 through a capacitor C₁ 110. The capacitor C₁ 110 bridges the input voltage V_(in) 105 to a inverting input 115 i of an amplifier 115. The amplifier 115 has a feedback capacitor C₂ 120 connecting the output voltage V_(out) 135 of the amplifier 115 to the inverting input 115 i. The feedback capacitor C₂ 120 may establish the gain of the circuit 100. The non-inverting input 115 n of the amplifier 115 is connected to ground 125, preferably AC ground. The floating node 130 is connected to the inverting input 115 i of the amplifier 115, and contains a certain uncontrollable charge Q.

A closed loop gain for the charge amplifier 110 may be expressed as −C₁/C₂. The output 135 of the amplifier 105 may also have a voltage term determined by a charge Q stored at the inverting input 115 i, which may be expressed as V_(Q)=Q/C₁. Conventionally, floating-node designs were avoided, because the charge Q on the isolated node is neither predictable nor controllable.

The capacitive feedback amplifier of FIG. 1B can be used to sense capacitance change. To control normally uncontrollable charges, switches may be implemented in the circuit, as is illustrated in FIG. 1C.

FIG. 1C is a schematic diagram illustrating a capacitive feedback charge amplifier with switches for controlling charges in the circuit. A first switch 142 may be implemented, having a first terminal fed by a bias voltage 144, and a second terminal coupled to a capacitive sensor 146 (shown as the MEMS Sensor). A second switch 148 can be implemented; the second switch 148 may have a first terminal coupled to the capacitive sensor 146 and a second terminal to ground 158. The capacitive sensor 146 can be connected to an inverting input 150 i of the amplifier 150.

A feedback capacitor C_(f) 152 can connect the output 150 o of the amplifier 150 to the inverting input 150 i of the amplifier 150. A third switch 154 may be in parallel with the feedback capacitor C_(f) 152, whereby the third switch 154 connects the inverting input 150 i of the amplifier 150 to the output 150 o of the amplifier 150. The inverting input 150 i of the amplifier 150 may also be connected to a parasitic capacitor C_(w) 156, which is also tied to ground 158. The non-inverting input 150 n may be connected to ground 158. The output 150 o of the amplifier 150 may have a load capacitor C_(L) 160 attached.

A charge on a floating connecting node 162 may be reset in the φ₁ phase. The charge on the capacitive sensor 146 may be sensed and amplified in the φ₂ phase. The averaged output voltage will be ${V_{out} = {V_{bias}\frac{C_{sensor}}{C_{f}}D}},$ where D is the duty cycle of the clocks. In this approach, the charge-sharing and clock feed-through perturbations resulting from the switches degrade the circuit performance. Additionally, the high frequency clocks also make this design more complicated than desired, and consume more power. Moreover, the use of switches causes the design to take up more space than desired.

Both designs, i.e., the lock-in (from FIG. 1A) and switched-capacitor (from FIG. 1C), do not have a wide dynamic range because their output voltages are proportional to the whole sensor capacitance instead of the minute capacitance change. Additionally, both designs are prone to the effect of the parasitic capacitance from the connecting node to the ground. It would be desirable to minimize the parasitic capacitance in both designs.

What is needed, therefore, is a capacitive sensing circuit design to sense minute capacitance change in the presence of a large parasitic capacitance. Indeed, a circuit design that is needed should avoid performance degradation from the charge sharing, and clock feed-through problems to provide high output dynamic range and high signal-to-noise ratio while consuming minimal power. It is to such a device, method, and system that the present invention is primarily directed.

SUMMARY

Exemplary embodiments of the present invention overcome the deficiencies in the prior art by providing systems and methods for sensing the capacitance change of a capacitive sensor and for optimizing a capacitive sensing circuit. A capacitance sensing circuit, in accordance with the present invention, can sense minute capacitance change with the presence of a large parasitic capacitance. The circuit may be adapted to reduce power consumption, create a smaller footprint, provide a high signal to noise ratio (SNR), and improve linearity.

In a first exemplary embodiment, the capacitive sensing circuit may include a capacitive sensor, a programming circuit, and an amplifier. The capacitive sensor produces an output that is coupled to the amplifier. The connecting node between the capacitive sensor and the amplifier is a floating node. The floating node may also be connected to the programming circuit for controlling the charge on the floating node. Such control of the charge on the floating node helps the circuit achieve greater precision in a smaller package. In some embodiments, the floating node may also be coupled to ground through a parasitic capacitor. The programming circuit may be adapted to control a charge on the floating node.

In another exemplary embodiment of the present invention, a capacitive sensing circuit may be optimized. The capacitive sensing circuit may be optimized by selecting preferred values of the parasitic capacitor and the load capacitor in order to improve the signal to noise ratio of the circuit. The sensing circuit may include a capacitive sensor, an amplifier, and a feedback capacitor. The capacitive sensor may include a sensor capacitance C_(sensor), a maximum capacitance change ΔC_(max), a first input connected to a bias voltage V_(bias), and a floating output. The capacitor sensor can sense a signal received by the sensing circuit. The sensing circuit can further include an amplifier having maximum input linear range ΔV_(in,max), a first input and a first output. Because the signal received by the sensor circuit could require amplification to interact with process circuitry, the amplifier is implemented in the sensing circuit. The first input of the amplifier may be coupled to the floating output of the capacitive sensor. Moreover, the circuit may include a feedback capacitor having a first terminal coupled to the first output of the amplifier, and a second terminal coupled to the first input of the amplifier. The feedback capacitor may include a capacitance C_(f) represented by the equation $C_{f} = {{\frac{V_{bias}}{\Delta\quad V_{{out},\max}} \cdot \Delta}\quad{C_{\max}.}}$ By determining the values feedback capacitor and the sensor capacitor, the values of parasitic and load capacitors can be selected.

In accordance with another embodiment of the present invention relates a method of controlling a charge on a floating node, whereby using a programming transistor is provided. The programming transistor may include a source, a floating gate, and a drain. The method includes applying a first predetermined voltage signal to the source of the programming transistor, applying a second predetermined voltage signal to the floating gate of the programming transistor, and applying a third predetermined voltage signal to the drain of the programming transistor until a charge on the floating gate of the programming transistor reaches a predetermined value. The charge on the floating gate of the programming transistor may drive the charge on the floating node to the predetermined value. Accordingly, the charge on the floating node can be controlled.

These and other objects, features and advantages of the present invention will become more apparent upon reading the following specification in conjunction with the accompanying drawing figures.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1A is a schematic diagram illustrating a conventional lock-in circuit for capacitive sensing.

FIG. 1B is a schematic diagram illustrating a conventional capacitive feedback amplifier circuit.

FIG. 1C is a schematic diagram illustrating a conventional switched capacitor circuit for capacitive sensing.

FIGS. 2-3 are schematic diagrams of circuits having at least one floating node connected to a programming circuit, in accordance with exemplary embodiments of the present invention.

FIG. 4 is a schematic diagram illustrating a small signal model of a capacitive sensing transducer circuit, in accordance with an exemplary embodiment of the present invention.

FIG. 5A is a schematic diagram illustrating a small signal model for noise analysis, in accordance with an exemplary embodiment of the present invention.

FIG. 5B is a schematic diagram illustrating another small signal model for noise analysis, in accordance with an exemplary embodiment of the present invention.

FIG. 6 is a schematic diagram illustrating a programming circuit connected to a floating node and to a capacitive circuit, in accordance with an exemplary embodiment of the present invention.

FIG. 7A is a schematic diagram illustrating a capacitive circuit and a programming circuit coupled to a floating gate of an amplifier, in an exemplary embodiment of the present invention.

FIG. 7B is another schematic diagram illustrating a capacitive circuit and a programming circuit coupled to a floating gate of an amplifier, in an exemplary embodiment of the present invention.

FIG. 7C is a schematic diagram that illustrates a floating node programming circuit, in an exemplary embodiment of the present invention.

FIG. 7D is a schematic diagram that illustrates the programming circuit including a series of MOS-BJT pseudo-resistors, in an exemplary embodiment of the present invention.

FIG. 7E is a schematic diagram illustrating an active transistor circuit as the programming circuit, in an exemplary embodiment of the present invention.

FIG. 8 is a schematic diagram illustrating an auto-zeroing capacitive sensing amplifier with an indirect injection transistor and a tunneling junction, in accordance with an exemplary embodiment of the present invention.

FIG. 9 is a schematic diagram illustrating an auto-zeroing capacitive sensing amplifier with an indirect injection transistor and a tunneling junction, along with testing equipment, in accordance with an exemplary embodiment of the present invention.

FIG. 10 is a graphical representation illustrating a 1 kHz signal and a noise spectrum, wherein the graphical representation graphs the signal/noise to frequency, in accordance with an exemplary embodiment of the present invention.

FIG. 11 is a graphical representation illustrating input music signals from a capacitive feedback amplifier, in accordance with an exemplary embodiment of the present invention.

FIG. 12 is a graphical representation illustrating output music signals from a capacitive feedback amplifier, in accordance with an exemplary embodiment of the present invention.

FIG. 13 is a graphical representation illustrating input step response of an auto-zeroing capacitive sensing amplifier, in accordance with an exemplary embodiment of the present invention.

FIG. 14 is a graphical representation illustrating output step response of an auto-zeroing capacitive sensing amplifier, in accordance with an exemplary embodiment of the present invention.

FIG. 15 is a graphical representation illustrating a comparison of noise spectrums of the capacitive feedback amplifier with sensors, in accordance with an exemplary embodiment of the present invention.

FIG. 16 is a partial schematic diagram illustrating an exemplary setup for measurement using CMUT sensors, in accordance with an exemplary embodiment of the present invention.

FIG. 17 is a graphical representation illustrating a waveform from the capacitive feedback amplifier using MOS-BJT (metal-oxide semiconductor—bipolar junction transistor) pseudo-resistor feedback scheming, in accordance with an exemplary embodiment of the present invention.

DETAILED DESCRIPTION

To facilitate an understanding of the principles and features of the invention, it is explained hereinafter with reference to its implementation in illustrative embodiments. In particular, the present invention is directed towards systems and methods for sensing the capacitance change of a capacitive sensor.

Referring now to the figures, wherein like reference numerals represent like parts throughout the several views, exemplary embodiments of the present invention will be described in detail. Throughout this description, various components may be identified having specific values, these values are provided as exemplary embodiments and should not be limiting of various concepts of the present invention as many comparable sizes and/or values may be implemented.

Floating gate transistors can be a valuable tool in circuit design because floating gates can be used to create many discrete analog circuits using only capacitor based components. This is very useful, because capacitors, unlike resistors, are a natural result of a metal-oxide semiconductor (MOS) process.

FIGS. 2-3 are schematic diagrams of circuits having at least one floating node connected to a programming circuit. Those of ordinary skill in the art will recognize that the nodes that are isolated by capacitors or transistors are not charged directly. Thus, it may be difficult to isolate or control the charges on the node. In an exemplary embodiment of the present invention, a programming circuit 235 is provided for controlling a charge Q on the floating node without interfering with its isolation. Additionally, the programming circuit may also be coupled to a first order amplifier circuit 215.

The capacitive sensing circuit of the present invention may be based on a capacitive feedback charge amplifier with a programming circuit, wherein the programming circuit is adapted to control a charge on a floating node. FIG. 2 is a schematic diagram illustrating a capacitive feedback amplifier circuit 200. The circuit 200 is fed by an input voltage V_(in) 205 through a capacitor C₁ 210. The capacitor C₁ 210 bridges the input voltage V_(n), 205 to a inverting input 215 i of an amplifier 215. The amplifier 215 has a feedback capacitor C₂ 220 connecting the output voltage V_(out) 225 of the amplifier 215 to the inverting input 215 i. The inverting input 215 i of the amplifier 215 is connected to the floating node 230, which may have a charge Q on it. Also, a programming circuit 235 is coupled to the floating node 230, enabling the charge Q at the isolated node 230 to be programmed, and hence controlled. A non-inverting input 215 n of the amplifier 215 is connected to ground 225.

A closed loop gain for the amplifier 215 may be expressed as −C₁/C₂. The output 225 of the amplifier 205 may also have a voltage term determined by a charge Q stored at the isolated node 230, which may be expressed as V_(Q)=Q/C₂. Conventionally, floating-node designs were avoided, because the charge Q on floating node 230 is neither predictable nor controllable. In accordance with an exemplary embodiment of the present invention, a simpler circuit producing improved performance may be achieved using a programming circuit to control the floating node.

FIG. 3 is a schematic diagram illustrating another capacitive feedback amplifier circuit 300 for sensing capacitance changes, in accordance with an exemplary embodiment of the present invention. The circuit 300 is driven by a varying capacitance C_(sensor) 310, which is connected to a fixed bias voltage V_(bias) 305 and to an inverting input 320 i of an amplifier 320. The inverting input 320 i is coupled to the floating node 330, which may hold a charge Q. A parasitic capacitor C_(w) 315 may be coupled to the inverting input 320 i of the amplifier 320, and hence the floating node 330, as well as to ground 335. The floating node 330 may also be coupled to a programming circuit 340. The programming circuit 340 may control the charge Q at the floating node 330. The amplifier 320 may be coupled to a feedback capacitor C_(f) 325 connecting the output 320 o of the amplifier 320 to the inverting input 320 i. A load capacitor C_(L) 350 is connected to the output V V_(out) 345 of the amplifier 320 and ground 335. Also, the non-inverting input 320 n of the amplifier 320 is connected to ground 335, preferably AC ground.

If the amplifier 320 has a frequency independent transconductance, the circuit 300, including parasitic capacitances (C_(w)), may be described as a single pole and zero system. The parasitic capacitor C_(w) 315 may be composed of the varying capacitance C_(sensor) 310 of the amplifier 320, and all the parasitic capacitances from the floating node 330 to ground. Generally, the amplifier 320 may be described as a transconductance amplifier, and the open-loop gain of the amplifier 320 may be higher than the close-loop gain set by the capacitance ratio. Due to the capacitive voltage divider (implemented using C_(sensor) and C_(w)), the input linear range of the capacitor 310 increases if there is a larger sized parasitic capacitor C_(w) 315. Also, increasing the function (C_(w)+C_(sensor))C_(L)/C_(f) proportionately increases the signal to noise ratio (SNR). Therefore, unlike many amplifier circuits where output noise and SNR can be set by the load capacitance (kT/C thermal noise), this system can allow for smaller drawn capacitances for a particular noise floor.

FIG. 4 is a schematic diagram illustrating a small signal model of a capacitive sensing transducer circuit, in accordance with an exemplary embodiment of the present invention.

As shown in FIG. 4, a bias voltage V_(bias) 405 is fed through a varying sensor capacitor C_(sensor) 415 that bridges the bias voltage V_(bias) 405 to the inverting input 410 i. A parasitic capacitor C_(w) 420 is also connected to the inverting input 410 i of the amplifier 410. The opposing end of the parasitic capacitor C_(w) 420 is connected to ground 425. A feedback capacitor C_(f) 430 connects the output 410 o of the amplifier 410 to the inverting input 410 i. The inverting input 410 i is connected to the floating node 445, which may have a charge Q on it. A non-inverting input 410 n of the amplifier 410 is connected to ground 425.

The output resistance R_(o) 450 of the amplifier 410 at the output 410 o of the amplifier 410 is connected to ground 425, preferably AC ground. A load capacitor C_(L) 435 may also bridge the output 410 o of the amplifier 410 to ground 425

The circuit 400 may be coupled to an off-chip MEMS sensor. The MEMS sensor may be biased by a DC voltage (V_(bias) 405) by connecting the bias voltage V_(bias) 405 to the inverting 410 i terminal of a capacitive feedback charge amplifier 410. The amplifier 410, in an exemplary embodiment, is a first order system. The sensing amplifier 410 may be followed by an output buffer, which can provide a well-defined load capacitance C_(L) 435. The total capacitance from the floating node to ground is modeled as the parasitic capacitor C_(w) 420.

In an exemplary embodiment, the DC output voltage can be expressed as: $\begin{matrix} {V_{out} = {- \frac{{V_{bias}C_{sensor}} + Q}{C_{f} + \frac{C_{T}}{A_{V}}}}} & (1) \end{matrix}$ where Q is the charge on the floating node, A_(v)=G_(m)R_(o) and C_(T)=C_(sensor)+C_(w)+C_(f). From equation (1), by programming the charge on the floating node, the DC level of V_(out) can be adjusted to the middle of the rail. If there is a varying sensor capacitor C_(sensor) 415, and assuming A_(v)>>C_(T)/C_(f), the corresponding output voltage variance can be expressed as: $\begin{matrix} {{\Delta\quad V_{out}} = {{{- \frac{V_{bias}}{C_{f}}} \cdot \Delta}\quad C_{sensor}}} & (2) \end{matrix}$ From equations (1) and (2), the circuit 400 may amplify changes in the sensor capacitance C_(sensor) 415, while decreasing constant capacitances at the floating node by the amplifier gain. The amplitude of the output signal may be proportional to the sensor capacitor C_(sensor) 415 with a transducer gain of −V_(bias)/C_(f). By selecting a large bias voltage V_(bias) 405, and a small feedback capacitor C_(f) 430, this scheme can provide very high sensitivity for capacitive sensing. Indeed, the design size of C_(f) 430 may be selected to set transducer gain. A bank of capacitors can be switched into the circuit 400 enabling alteration of the feedback capacitor C_(f) 430, as well as the dynamic range and noise of these signals.

If the floating node charge Q is controlled by the use of both hot-electron injection and tunneling currents, then this scheme is similar to an auto-zeroing floating-gate amplifier, except that the input signal includes a varying voltage instead of a varying capacitance. By assuming that the floating node voltage remains almost constant, and that A_(v)>>C_(T)/C_(f), the transfer function from the input capacitance to the output voltage can be written as: $\begin{matrix} {\frac{V_{out}(s)}{C_{sensor}(s)} = {{- \frac{V_{bias}}{C_{f}}} \cdot \frac{1 - {{sC}_{f}/G_{m}}}{1 + {{sC}_{eff}/G_{m}}}}} & (3) \end{matrix}$ where C_(eff)=(C_(o)C_(T)−C_(f) ²)/C_(f), and C_(o)=C_(L)+C_(f). The zero, due to capacitive feed-through, is typically at much higher frequency responses than the amplifier bandwidth. Preferably, the sensor capacitor C_(sensor) 415 and the load capacitor C_(L) 435 may have roughly the same value size, wherein, preferably, both of the capacitors (C_(sensor) and C_(L)) are larger in size than the feedback capacitor C_(f) 430.

To analyze the signal-to-noise ratio (SNR) of the circuit 400, first, the maximum output linear range is identified, and then the total output referred noise power may be determined. Assuming the differential pair of the amplifier is operating in the subthreshold region, its large signal transconductance relation may be expressed as ${I_{out} = {I_{b}\tan\quad{h\left( \frac{\kappa\quad V_{d}}{2U_{T}} \right)}}},$ where I_(b) is the tail current, V_(d) is the differential input voltage, κ is the subthreshold slope coefficient of transistors, and U_(T) is the thermal voltage. One criterion for linearity is to have sufficiently small ΔV_(d) such that $I_{out} = {{\tan\quad{h\left( \frac{\kappa\quad\Delta_{d}}{2U_{T}} \right)}} \approx \frac{\kappa\quad\Delta_{d}}{2U_{T}}}$ can be approximated as G_(m)=κ/2U_(T). This criterion indicates that the floating-gate voltage V_(fg) shall not move by more than 2U_(T)/κ from its equilibrium value.

Because the output voltage V_(out) reflects the charge perturbation on the floating node, a varying capacitance ΔC_(sensor) with a fixed biasing voltage V_(bias) can be replaced with a varying input voltage ΔV_(bias) with a fixed capacitance C_(sensor) to simplify the present analysis. As long as ΔC_(sensor)V_(bias)=C_(sensor)ΔV_(bias), output voltages of the amplifier in these two scenarios are the same. By doing so, the transfer function from V_(bias) to V_(fg) and from V_(bias) to V_(out) can be expressed as: $\begin{matrix} {\frac{V_{fg}(s)}{V_{bias}(s)} = {\frac{C_{sensor}}{C_{f}} \cdot \frac{{{sC}_{o}/G_{m}} + {1/A_{v}}}{{{sC}_{eff}/G_{m}} + {C_{T}/\left( {C_{f}A_{v}} \right)}}}} & (4) \\ {\frac{V_{out}(s)}{V_{bias}(s)} = {\frac{C_{sensor}}{C_{f}} \cdot \frac{{sC}_{f} - G_{m}}{{sC}_{eff} + G_{m}}}} & (5) \end{matrix}$ From equation (4), the variance of ΔV_(fg)/ΔV_(bias) increases from C_(sensor)/C_(T) to (C_(sensor)C_(o))/(C_(eff)C_(f)) as the frequency goes up to the capacitive feed-through regime. To keep the maximum ΔV_(fg) within the linear range of amplifier, we can have $\begin{matrix} {{\Delta\quad V_{{bias},\max}} = {\frac{2U_{T}}{\kappa} \cdot \frac{C_{eff}C_{f}}{C_{sensor}C_{o}}}} & (6) \end{matrix}$ From equation (5), the gain from V_(bias) to V_(out) at the operation regime is −C_(sensor)/C_(f). Therefore, we obtain the maximum linear output V_(out) max as: $\begin{matrix} {{\Delta\quad V_{{out},\max}} = {{\frac{2U_{T}}{\kappa} \cdot \frac{C_{eff}}{C_{o}}} \approx {\frac{2U_{T}}{\kappa} \cdot \frac{C_{sensor} + C_{w}}{C_{f}}}}} & (7) \end{matrix}$ The approximation in equation (7) and afterward is made by choosing C_(f) to be a small value as compared with other capacitors, to achieve high sensitivity.

A next step enables calculation of output-referred noise power by using a simplified small signal model for noise analysis. FIG. 5A is a schematic diagram illustrating a small signal model for noise analysis, in accordance with an exemplary embodiment of the present invention.

The small signal model circuit 500 may include a varying sensor capacitor C_(sensor) 505 that is connected to the floating node 506, and thus to the inverting input 510 i of the amplifier 510. The opposing end of the sensor capacitor 505 is connected to ground 515. Also, the parasitic capacitor C_(w) 520 is connected to the floating node 506 and to ground 515. A feedback capacitor C_(f) 525 connects the output 510 o of the amplifier 510 to the inverting input 510 i of the amplifier 510. The non-inverting input 510 n of the amplifier 510 may be connected to ground 515. The output 510 o of the amplifier 510 can be connected to a load capacitor C_(L) 530 that is also attached to ground 515. An output voltage V_(out) 535 is produced from the output 510 o of the amplifier 510. ĩ_(o) may be the output-referred current noise of the amplifier 510.

Referring now to FIG. 5B, by connecting V_(fg) and V_(out) with a capacitive divider, the small signal model of FIG. 5A can be simplified to the schematic diagram of FIG. 5B. FIG. 5B is a schematic diagram illustrating the small signal model for noise analysis, in accordance with an exemplary embodiment of the present invention.

A floating node 602 of the circuit 600 may be connected to a varying sensor capacitor C_(sensor) 605, feedback capacitor C_(f) 610, and a parasitic capacitor C_(w) 620. The sensor capacitor C_(sensor) 605 and capacitor C_(w) 620 are also tied to a ground 615. The feedback capacitor C_(f) 610 ties the floating node 602 to a second node 604.

The second node 604 of the circuit 600 is coupled to a resistor R_(x) 625, a current noise ĩ_(o) 630, and a load capacitor C_(L) 635. The resistor R_(x) 625, the current noise ĩ_(o) 630, and the load capacitor C_(L) 635 are all also tied to ground 615. The second node 604 is further the output voltage V_(out) 640 of the circuit 600.

Again, by connecting V_(fg) at node 602 and V_(out) 640 by a capacitive divider, the small signal model can be further simplified, and expressed as R_(x)=C_(T)/(C_(f)G_(m)). Therefore, the output-referred voltage noise, V² _(out) can be expressed as: $\begin{matrix} {{\hat{V}}_{out}^{2} = {R_{x}^{2} \cdot \frac{{\overset{\sim}{i}}_{o}^{2}}{1 + \left( {2\pi\quad f\quad\tau} \right)^{2}}}} & (8) \end{matrix}$ where τ=R_(x)C_(x), and C_(x)=C_(L)+(C_(f)∥(C_(sensor)+C_(w))). In the subthreshold region, the thermal noise component of the amplifier can be modeled as $\begin{matrix} {\frac{{\overset{\sim}{i}}_{o}^{2}}{\Delta\quad f} = {\frac{2}{\kappa}{nqU}_{T}g_{m}}} & (9) \end{matrix}$ where n is the effective number of noisy transistors, q is the charge of an electron, and g_(m) is the transconductance of transistors. The total power of the output referred voltage noise power can be calculated with the expression: $\begin{matrix} \begin{matrix} {{\hat{V}}_{{out},{total}}^{2} = {\frac{2{nqU}_{T}g_{m}R_{x}^{2}}{\kappa}{\int{\frac{1}{1 + \left( {2\pi\quad f\quad\tau} \right)^{2}}{\mathbb{d}f}}}}} \\ {= {\frac{{nqU}_{T}}{2\kappa} \cdot \frac{C_{T}^{2}}{C_{f}\left( {{C_{T}C_{o}} - C_{f}^{2}} \right)}}} \\ {\approx {\frac{{nqU}_{T}}{2\kappa} \cdot \frac{C_{T}^{2}}{C_{f}\left( {{C_{T}C_{o}} - C_{f}^{2}} \right)}}} \end{matrix} & (10) \end{matrix}$

The expression for the SNR can be derived by dividing the square of equation (7) by equation (10) as: $\begin{matrix} {{SNR} = {{\frac{8U_{T}}{{nq}\quad\kappa} \cdot \frac{C_{eff}^{3}C_{f}^{2}}{C_{o}^{2}C_{T}^{2}}} \approx {\frac{8U_{T}}{{nq}\quad\kappa} \cdot \frac{\left( {C_{sensor} + C_{w}} \right)C_{L}}{C_{f}}}}} & (11) \end{matrix}$ From equations (7) and (11), the linear range of the capacitive sensing amplifier can be improved by increasing the parasitic capacitor C_(w), and the SNR can be improved by increasing C_(w) or C_(L). Because the product term in equation (11) creates a large effective capacitor, high SNR may be achieved while keeping the relative values and the areas of C_(w), C_(L), and C_(f) smaller than traditional methods. By restricting the bandwidth of interest or by making the amplifier bandwidth larger than the bandwidth of interest, the resulting sensitivity should increase.

Exemplary embodiments of the present invention may provide an optimized capacitive sensing circuit. The optimized capacitive sensing circuit may include a predetermined maximum output linear range ΔV_(out,max) and signal-to-noise ratio (SNR). The optimized capacitive sensing circuit can include a capacitive sensor having a sensor capacitance C_(sensor), a maximum capacitance change ΔC_(max), a first input connected to a bias voltage V_(bias) and a floating output. Also, the optimized sensing circuit may include an amplifier having maximum input linear range ΔV_(in,max), a first input and a first output, the first input may be coupled to the floating output of the capacitive sensor.

Further, the optimized sensing circuit may include a feedback capacitor having a first terminal coupled to the first output and the amplifier and a second terminal coupled to the first input of the amplifier, the feedback capacitor having a capacitance C_(f). A preferred feedback capacitance can be derived from the following equation: $\begin{matrix} {{\Delta\quad V_{{out},\max}} = {{\frac{V_{bias}}{C_{f}} \cdot \Delta}\quad C_{\max}}} & (12) \end{matrix}$ Then, by solving for C_(f), the following equation results: $\begin{matrix} {C_{f} = {{\frac{V_{bias}}{\Delta\quad V_{{out},\max}} \cdot \Delta}\quad C_{\max}}} & (13) \end{matrix}$

The optimized sensing circuit can also include a parasitic capacitor C_(w). The parasitic capacitor C_(w) may include a first terminal coupled to the floating output of the capacitive sensor and a second terminal coupled to ground. A preferred value for the parasitic capacitor C_(w) can be derived from the equation: $\begin{matrix} {{\Delta\quad V_{{out},\max}} \approx {\Delta\quad V_{{i\quad n},\max}\frac{C_{sensor} + C_{w}}{C_{f}}}} & (14) \end{matrix}$ Then, by solving for C_(w), $\begin{matrix} {C_{w} \geq {{\frac{\Delta\quad V_{{i\quad n},\max}}{\Delta\quad V_{{out},\max}}C_{f}} - C_{sensor}}} & (15) \end{matrix}$

The optimized sensing circuit may further include a load capacitor C_(L) having a first terminal coupled to the first output of the amplifier and a second terminal coupled to ground. A preferred value for the load capacitor C_(L) can be derived from the equation: $\begin{matrix} {{SNR} \approx {\frac{2{\kappa\Delta}\quad V_{{i\quad n},\max}^{2}}{{nqU}_{T}} \cdot \frac{\left( {C_{sensor} + C_{w}} \right)C_{L}}{C_{f}}}} & (16) \end{matrix}$ By solving for the load capacitor, the result is: $\begin{matrix} {C_{L} \geq {\frac{{nqU}_{T}}{2{\kappa\Delta}\quad V_{{i\quad n},\max}^{2}} \cdot \frac{C_{f}}{\left( {C_{sensor} + C_{w}} \right)} \cdot {SNR}}} & (17) \end{matrix}$ For this equation (17), n represents an effective number of noisy transistors in the amplifier, q represents a charge of an electron, K represents a subthreshold slop coefficient of the transistor in the amplifier, and U_(T) represents a thermal voltage and SNR represents the desired signal to noise ratio of the circuit. By assuming ${{\Delta\quad V_{{in},\max}} \approx \frac{2U_{T}}{\kappa}},$ then $\begin{matrix} {C_{L} \geq {\frac{{nq}\quad\kappa}{8U_{T}} \cdot \frac{C_{f}}{\left( {C_{sensor} + C_{w}} \right)} \cdot {SNR}}} & (18) \end{matrix}$

When the amplifier of the optimized sensing circuit is a first order amplifier, operable over a bandwidth of interest BW, with a transconductance G_(m), the transconductance G_(m) can be determined. To determine the G_(m), the bandwidth BW should be known. $\begin{matrix} {{BW} = {\frac{G_{m}}{2\pi} \cdot \frac{C_{f}}{{\left( {C_{sensor} + C_{w}} \right) \cdot C_{L}}\quad}}} & (19) \end{matrix}$ By solving for the transconductance, the expression becomes: $\begin{matrix} {G_{m} \geq {2{\pi \cdot {BW} \cdot \frac{\left( {C_{sensor} + C_{w}} \right) \cdot C_{L}}{C_{f}}}}} & (20) \end{matrix}$

In an exemplary embodiment, the amplifier may have an output resistance R_(o). As a result, the output resistance R_(o) may be derived from the following equation: $\begin{matrix} {{A_{v} = {G_{m}R_{o}}}\operatorname{>>}\frac{\left( {C_{sensor} + C_{w}} \right)}{C_{f}}} & (21) \end{matrix}$ When solved for the output resistance, the result is: $\begin{matrix} {R_{o}\operatorname{>>}\frac{\left( {C_{sensor} + C_{w}} \right)}{G_{m} \cdot C_{f}}} & (22) \end{matrix}$

The present invention also includes a method of optimizing a capacitive sensing circuit. Indeed, the method of optimizing the capacitive sensing circuit with the predetermined maximum output linear range ΔV_(out,max) and the desired signal-to-noise ratio SNR, the capacitive sensing circuit comprising a capacitive sensor having the sensor capacitance C_(sensor), the maximum capacitance change ΔC_(max), a first input connected to a bias voltage V_(bias) and a floating output; an amplifier having maximum input linear range 6ΔV_(in,max), a first input and a first output, the first input being coupled to the floating output of the capacitive sensor is provided. The method includes providing a feedback capacitor having a first terminal coupled to the first output of the amplifier and a second terminal coupled to the first input of the amplifier, the feedback capacitor having a capacitance C_(f), represented by the equation $C_{f} = {{\frac{V_{bias}}{\Delta\quad V_{{out},\max}} \cdot \Delta}\quad{C_{\max}.}}$

The method may also include providing a load capacitor C_(L) having a first terminal coupled to the first output of the amplifier and a second terminal coupled to ground, the load capacitor C_(L) having a capacitance represented by the equation ${C_{L} \geq {\frac{{nqU}_{T}}{2{\kappa\Delta}\quad V_{{in},\max}^{2}} \cdot \frac{C_{f}}{\left( {C_{sensor} + C_{w}} \right)\quad} \cdot {SNR}}},$ wherein n represents an effective number of noisy transistors in the amplifier, q represents a charge of an electron, κ represents a subthreshold slop coefficient of the transistor in the amplifier, and U_(T) represents a thermal voltage and SNR represents the desired signal to noise ratio of the circuit.

Another exemplary method of the present invention may include controlling a charge on a floating node between a capacitive sensor and an amplifier using a programming transistor. The transistor may include a source, a floating gate, and a drain. The method includes applying a first predetermined voltage signal to the source of the programming transistor. The method also may include applying a second predetermined voltage signal to the floating gate of the programming transistor. The method further includes applying a third predetermined voltage signal to the drain of the programming transistor until a charge on the floating gate of the programming transistor reaches a predetermined value. The charge on the floating gate of the programming transistor may drive the charge on the floating node to the predetermined value.

FIG. 6 is a schematic diagram illustrating a programming circuit connected to a floating node and to a capacitive circuit, in accordance with an exemplary embodiment of the present invention. The circuit 650 includes a programming circuit 652 coupled to a capacitive circuit 665. The programming circuit may include a tunneling junction and a transistor.

In operation, a capacitive sensor output 655 is fed to the capacitive circuit 665. The connection between the sensor output 655 and the capacitive circuit 665 is a floating node 660. The output of the programming circuit 652 is also connected to the floating node 660. The programming circuit 652 may include a programming transistor 680 having a source 680 s, a floating gate 680 g, and a drain 680 d. The tunneling junction of the programming circuit 652 includes a tunneling capacitor 675 coupled to the floating gate 680 g of the programming transistor 680, and is adapted to receive a tunneling voltage 670. A charge Q may be present at the floating node 660. The programming circuit 652 can control, i.e., program, the charge Q by setting a charge on the floating gate 680 g, which is transferred to the floating node 660.

In an exemplary embodiment of the present invention, a programming circuit can be implemented to control a charge on a floating node in a capacitive sensor embodiment. FIGS. 7A-7E are schematic diagrams that illustrate different embodiments of the programming circuit to control the charge and improve performance of the capacitive circuit. These embodiments controlling the charge do not require switches or lock-in methods, thus improving upon the conventional approaches previously used to sense capacitance changes.

By using a first-order amplifier, with a floating-node programming circuit, the output voltage may be proportional to the changes in the sensing capacitor, which may be expressed as: $\begin{matrix} {V_{out} = {{- \frac{V_{bias}}{C_{f}}}\Delta\quad{C.}}} & (23) \end{matrix}$ By using this equation (23), the full output range may be used in sensing changes of the capacitance may be used. In conventional approaches, only very small amounts of the output range vary according to the change of the sensing capacitance.

FIG. 7A is a schematic diagram illustrating a capacitive sensor and a programming circuit coupled to an amplifier, in an exemplary embodiment of the present invention. A capacitive sensor 702, shown as a MEMS Sensor, can include a first terminal 704 and a second terminal 706. The first terminal 704 of the capacitive circuit 702 can be fed a bias voltage V_(bias) 708. The second terminal 706 of the capacitive circuit 702 may be coupled to an inverting input 710 i of the capacitor 710 at a floating node 712.

A programming circuit 714 may also be coupled to the inverting input 710 i of the amplifier 710. The programming circuit 714 is adapted to control the charge on the floating node 712. A parasitic capacitor C_(w) 716 may be coupled to the inverting input 710 i, and to ground 718. A feedback capacitor C_(f) 720 may connect the output 710 o of the amplifier 710 to the inverting input 710 o. The non-inverting input 710 n of the amplifier 710 can be tied to ground 718. A load capacitor C_(L) 722 can be tied to the output 710 o of the amplifier 710 and to ground 718.

FIG. 7B is another schematic diagram illustrating a capacitive circuit and a programming circuit coupled to a floating gate of an amplifier, in an exemplary embodiment of the present invention. A capacitive sensor 702, shown as a MEMS Sensor, can include a first terminal 704 and a second terminal 706. The first terminal 704 of the capacitive circuit 702 can be fed a bias voltage V_(bias) 708. The second terminal 706 of the capacitive circuit 702 may be coupled to an inverting input 710 i of the capacitor 710. A node 712 is a floating node, and is coupled to the inverting input 710 i of the amplifier 710.

A feedback capacitor C_(f) 720 may connect the output 710 o of the amplifier 710 to the inverting input 710 o. A programming circuit 714 may be in parallel with the feedback capacitor 720, thereby connecting the output 710 o of the amplifier 710 to the inverting input 710 o. This feedback arrangement allows the programming circuit 714 to base the programming of the floating node 712, at least in art, on the output 710 o of the amplifier 710. A parasitic capacitor C_(w) 716 may be coupled to the inverting input 710 i, and to ground 718. The non-inverting input 710 n of the amplifier 710 can be tied to ground 718. A load capacitor C_(L) 722 can be tied to the output 710 o of the amplifier 710 and to ground 718.

By placing the programming circuit 714 in parallel with the feedback capacitor C_(f) 720, this configuration may improve linearity and the signal to noise ratio (SNR) of the circuit 700, by having a large parasitic, or drawn, capacitor C_(w) 716, between the floating node 712 and ground 718. Because the SNR can be proportional to the product of the sum of the parasitic capacitor C_(w) and a sensing capacitor, the output capacitor over the feedback capacitance results In: ${SNR} \propto {\frac{\left( {C_{sensor} + C_{w}} \right)C_{L}}{C_{f}}.}$ The result is a circuit that will consume less area to achieve a given value of SNR. These benefits are not available from conventional approaches.

FIG. 7C is a schematic diagram that illustrates a floating node programming circuit, in an exemplary embodiment of the present invention. The circuit depicted in FIG. 7C is similar to FIG. 7B, but provides greater detail with respect to an exemplary embodiment of the floating node programming circuit block.

The programming circuit 714 in FIG. 7C can remain in parallel with the feedback capacitor C_(f) 720, as shown, or the floating node programming circuit could be implemented as is the programming circuit in FIG. 7A. Referring, however, to FIG. 7C, the programming circuit 714 can include a transistor 730, a tunneling junction 732, and a comparator 734. The transistor 732 has a source 730 s, a floating gate 730 g, and a drain 730 d. The tunneling junction 732 is coupled the floating gate 730 g for programming the charge on the floating gate 730 g. The tunneling junction 732 includes a tunneling capacitor 732 c having a first terminal fed by a tunneling voltage 730 v, and a second terminal coupled to the floating gate 730 g of the transistor 730. The floating gate 730 g of the transistor 730 may also be connected to the inverting input 710 i of the amplifier 710. The output 710 o of the amplifier 710 may be coupled to a non-inverting input 734 n of the comparator 734, while an inverting input 734 i of the comparator 734 is fed a comparator voltage 736. The output 734 o of the comparator 734 can be coupled to the drain 730 d of the transistor 730.

Alternatively, as depicted in FIG. 7D, instead of a floating node programming circuit, the programming circuit can include a series of MOS-BJT pseudo-resistors.

The programming circuit 714 of FIG. 7D includes at least two transistors M₁ 740 and M₂ 742. The transistor M₁ 740 may have a source 740 s, floating gate 740 g, drain 740 d, and well 740 w. Further, a transistor M₂ 742 having a source 742 s, gate 742 g, drain 742 d, and well 742 w may also be included in the programming circuit 714. Both the drain 740 d and the gate 740 g of the transistor M₁ 740 are coupled to the floating node 712, and thus the inverting input 710 i of the amplifer 710. The well 740 w and the source 740 s of the transistor 740 are coupled together, and are collectively coupled to the gate 742 g and drain 742 d of the transistor M₂ 742. The well 742 w and source 742 s are coupled together, and connect to the output 710 o of the amplifier 710. Also, a feedback capacitor C_(f) 722 connects the output 710 o of the amplifier 710 to the inverting input 710 i, and, thus, the feedback capacitor C_(f) 722 may be in parallel with the programming circuit 714.

FIG. 7E is a schematic diagram illustrating an active transistor circuit as the programming circuit, in an exemplary embodiment of the present invention. Again, FIG. 7E illustrates the programming circuit in parallel with the feedback capacitor.

The programming circuit 714 can include an active transistor circuit 750. The active transistor circuit may include an inverting input 750 i, a non-inverting input 750 n, and an output 750 o. The output 710 o of the amplifier 710 may be coupled to the non-inverting input 750 n of the active transistor circuit 750. The inverting input 750 i of the active transistor circuit 750 is connected to the output 750 o of the active transistor circuit 750. The output 750 o is connected to the floating node 712, which is connected to the inverting input 710 i of the amplifier 710.

Referring now to FIG. 8 is a schematic diagram illustrating an auto-zeroing capacitive sensing amplifier with an indirect injection transistor and a tunneling junction, in accordance with an exemplary embodiment of the present invention. FIG. 8 depicts a capacitive sensing amplifier circuit 800 having a programming circuit 805 coupled to an amplifier 810. The floating node 812 of the circuit 800 may include a charge Q.

The programming circuit 805 may include a transistor 815, and a tunneling capacitor 825. Preferably, the programming circuit 805 includes a pMOS transistor 815. The transistor 815 includes a source 815 s, a gate 815 g, and a drain 851 d. The gate 815 g of the transistor 815 is coupled to an inverting input 810 i of the amplifier 810. This connection is an electrically isolated floating node. The gate 815 g of the transistor 815 of the programming circuit 805 is coupled to a tunneling voltage V_(tunnel) 820, through a tunneling capacitor 825. In addition, a bias voltage V_(bias) 830 is coupled to the floating gate 815 g across a sensing capacitor C_(sense) 835.

A feedback capacitor C_(f) 840 connects the input 810 i of the amplifier 810 and the output 810 o of the amplifier 810. The feedback capacitor C_(f) 840 is not a part of the amplifier 810, in an exemplary embodiment, but instead is an external component to the amplifier 810.

The output 810 o of the amplifier 810 may be coupled to an input 845 i of a buffer circuit 845. The output 845 o of the buffer 845 produces an output voltage V_(out) 850. The output voltage V_(out) 850 may be connected to a non-inverting input 855 n of a comparator 855. An inverting input 855 i of the comparator 855 is coupled to a comparator voltage V_(comp) 860. The comparator 855 may then produce an output 855 o, which is coupled to the drain 815 d of the transistor 815 of the programming circuit 805.

Consequently, in an exemplary embodiment, a tunneling junction (comprised of the tunneling voltage 820 and the tunneling capacitor 825, combined) and an indirect injection pMOS transistor 815 are coupled with the amplifier 810. The comparator 855 provides a drain voltage to the drain 815 d of the transistor 815 to adjust injection current to the output current. The output may adapt to the changes on the floating node, so that it can return to the middle of the rail.

FIG. 9 is a schematic diagram illustrating an auto-zeroing capacitive sensing amplifier with an indirect injection transistor and a tunneling junction, along with testing equipment, in accordance with an exemplary embodiment of the present invention. FIG. 9 illustrates a capacitive sensing amplifier circuit 900 that diagrams an exemplary setup of measuring characteristics of an audio application.

The circuit 900 of FIG. 9 includes an off-chip microphone sensor 905. The sensor 905 includes a sensor capacitor C_(sensor) 910 fed by a bias voltage V_(bias) 915. The sensor 905 is connected to a programming circuit 920, via the sensor capacitor C_(sensor) 910.

The programming circuit 920 may include a transistor 925 and a tunneling capacitor 935. The transistor 925 of the programming circuit 920 includes a source 925 s, a gate 925 g, and a drain 925 d. The gate 925 g is coupled to floating gate voltage V_(fg) 940 (the floating node having a charge Q), which is coupled to the inverting input 945 i of the amplifier 945. The gate 925 g of the transistor 925 of the programming circuit may be the “floating node.” The tunneling voltage 930 is connected to the tunneling capacitor 935, which is connected to the floating node, or the floating node.

A parasitic capacitor C_(w) 942 is also tied to the floating node, as well as to ground 944. The floating node is coupled to the inverting input 945 i of the amplifier 945. A feedback capacitor C_(f) 950 connects the inverting input 945 i of the amplifier to the output 945 o of the amplifier 945. The non-inverting input 945 n of the amplifier may be connected to a reference voltage V_(ref) 955. The output 945 o of the amplifier may be connected a buffer 960. The output 960 o of the buffer 960 may be connected a non-inverting input 965 n of a comparator 965. An inverting input 965 i of the comparator 965 is connected to a comparator voltage V_(comp) 970. The output 965 o of the comparator is tied to the drain 925 d of the transistor 925 of the programming circuit 920.

The amplifiers described herein may be transconductance amplifiers. Preferably, the amplifiers are 5-transistor or 9-transistor transconductance amplifiers, a folded cascade amplifier, or a common source amplifier. It in an exemplary embodiment, the output capacitance forms the amplifier's dominant pole.

In an exemplary embodiment, an ultra-thin card type speaker with an operating range of 150 Hz to 100 kHz may be used as the acoustic signal source for the capacitive sensing microphone transducer. The floating node may be pinned out by using a bare pad to avoid large leakage current through the electrostatic circuitry. The MEMS sensor may be soldered to the pin connecting to the capacitive feedback amplifier 945 with approximately 5V biasing voltage V_(bias) 915. The leakage current can be measured directly from this circuit 900 because the circuit 900 integrates the charge over time. The measured leakage current with a bonded sensor is approximately 5 fA. Exemplary circuit parameters and the measurement results are listed in Tables I and II. TABLE I CIRCUIT PARAMETERS Area 390 × 200 μm² Power Supply 3.3 V Amplifier Power Consumption 0.5 μW Open-Loop Gain 80 dB Bandwidth f_(BW) (C_(L) = 0.4 pF) 25 kHz Feedback Capacitance C_(f) 20 fF

TABLE II MEASUREMENT RESULTS Measured Leakage Current 5 fA Total Noise Power (Audio Band) 117.5 μV_(rms) Signal to Noise Ratio (SNR) 78.6 dB Minimum Detectable Capacitance (Audio Band) 0.4 aF Capacitance Sensitivity @ 1 kHz 2.8 zF/{square root over (Hz)} Minimum Detectable Displacement @ 1 kHz 10⁻⁵° A/{square root over (Hz)}

Accordingly, FIG. 9 depicts an exemplary schematic of an auto-zeroing capacitive sensing amplifier having an indirect injection transistor 925 coupled to a tunneling junction (comprising the tunneling voltage 930 and the tunneling capacitor 935). The comparator 965 may be implemented to provide a voltage to the drain 925 d of the injection transistor 925, so that the injection current can be adjusted to balance out any tunneling and leakage current.

By using Fowler-Nordheim tunneling and channel hot electron (CHE) injection mechanisms, the output voltage V_(out) can be auto-zeroed to the middle of a rail without affecting performance. The tunneling junction (930 and 935 combined) and the injection transistor 925 are, preferably, integrated on-chip. Tunneling current may bring electrons away from the floating gate 925 g of the transistor 925 upon a high voltage being applied across the tunneling junction. When a high channel-to-source field exits across the MOS transistor 925 with enough current through it, channel hot electrons are injected into the floating node. As noted, circuit parameters and the measurement results are listed in Tables I and II.

Through disabling the tunneling and injection mechanisms, and by keeping tunneling junction low and drain voltage of injection transistor high, the inverting voltage will settle to an equilibrium value. Then, by adjusting the non-inverting voltage (V_(ref) 955) to keep the output at the middle of the rail, we can measure the power spectrum density of the system.

FIG. 10 is a graphical representation illustrating a 1 kHz signal and a noise spectrum, wherein the graphical representation graphs the signal/noise to frequency, in accordance with an exemplary embodiment of the present invention. The spectrum of a 1 kHz, 1 Vrms output waveform with −37 dB total harmonic distortion is shown in FIG. 10, together with the noise spectrum of the capacitive sensing circuit without the MEMS sensor. The calculated total noise power of the circuit in the audio band (i.e. 10 Hz to 20 kHz with uniform weighting) is 117.5 μV_(rms). The speaker and the microphone sensors may deteriorate the linearity of the transducer, so the SNR of the present circuit is higher than 78.6 dB. The minimum detectable capacitance variance in the audio band is 0.4 aF. The capacitance sensitivity is 2.8 zF/√{square root over (Hz)} and the minimum detectable displacement is 10⁻⁵° A/√{square root over (Hz)}.

FIG. 11 is a graphical representation illustrating input music signals from a capacitive feedback amplifier, in accordance with an exemplary embodiment of the present invention. FIG. 11 illustrates music waveforms recorded from the capacitive feedback amplifier of FIG. 9. FIG. 12 is a graphical representation illustrating output music signals from a capacitive feedback amplifier, in accordance with an exemplary embodiment of the present invention.

Without the auto-zeroing scheme to stabilize the leaky floating node voltage, the equilibrium value may be sensitive to the changes in the test environment. The present invention provides necessary supply voltages, and uses a comparator to adjust the drain voltage of the injection transistor. Therefore, the injection current balances out the leakage and the tunneling currents and keeps the output DC voltage at the mid of the rail.

FIG. 13 is a graphical representation illustrating input step response of an auto-zeroing capacitive sensing amplifier, in accordance with an exemplary embodiment of the present invention. FIG. 14 is a graphical representation illustrating output step response of an auto-zeroing capacitive sensing amplifier, in accordance with an exemplary embodiment of the present invention. Accordingly, the output adapts to the changes on the floating node so that it can return to the middle of the rail in slow time scale as shown in FIGS. 13-14.

FIG. 15 is a graphical representation illustrating a comparison of noise spectrums of the capacitive feedback amplifier with sensors, in accordance with an exemplary embodiment of the present invention.

The noise spectrums with and without this adaptation scheme are compared in FIG. 15, which depicts that this adaptation scheme does not degrade noise performance. The low frequency corner of the spectrum using adaptation is higher than that without adaptation because of the addition of the floating-gate programming currents. The use of mechanical or electrical switches can be avoided, so that the readable charge at the inverting terminal can be reduced to the level lower than the charge perturbation due to charge sharing and clock feed-through. The additional power consumption from the comparator and the injection transistor is within μW range, because the adaptation rate may be slow and the injection transistor can operate in a subthreshold region. Therefore, the scheme reserves the high power efficiency benefit.

FIG. 16 is a partial schematic diagram illustrating an exemplary setup for measurement using CMUT (capacitive micro-machined ultrasonic transducer) sensors, in accordance with an exemplary embodiment of the present invention. A CMUT device typically incorporates a membrane, with an electrode, suspended above a conductive substrate or another electrode coupled to a substrate. The membrane can have elastic properties enabling it to fluctuate in response to stimuli. An exemplary CMUT may comprise a first electrode, an isolation layer, a membrane layer, a cavity, and a second electrode. The isolation layer may not be used in some embodiments, so the bottom electrode can be exposed to the cavity.

A circuit 1700 is illustrated in FIG. 16. The circuit 1700 includes a high voltage supply 1705 coupled to the CMUT 1603. In an exemplary embodiment, the CMUT 1603 is positioned in oil 1710, or other fluid. Also, a piezo transducer (PZT) 1715 is positioned in the oil 1710. A radio frequency (RF) signal generator 1720 is in communication with the piezo transducer 1715. The piezo transducer 1715 can generate waves. Between the high voltage supply 1705 and the piezo transducer 1715, electrodes of the CMUT 1603 may fluctuate.

The CMUT is coupled to a floating node 1725. The floating node 1725 is coupled to a parasitic capacitor C_(w) 1730, which is also tied to ground 1735. The floating node 1725 is also coupled to an inverting input 1740 i of an amplifier 1740. The non-inverting input 1740 n of the amplifier is tied to ground 1735.

A transistor M₁ 1745 having a source 1745 s, gate 1745 g, drain 1745 d, and well 1745 w may also be included in the circuit 1700. Further, a transistor M₂ 1750 having a source 1750 s, gate 1750 g, drain 1750 d, and well 1750 w may also be included in the circuit 1700. Both the drain 1745 d and the gate 1745 g of the transistor M₁ 1745 are coupled to the floating node 1725. The well 1745 w is connected to the source 1745 s, which is coupled the gate 1750 g and drain 1750 d of the transistor M₂ 1750. The well 1750 w and source 1750 s are coupled and connect to an output 1740 o of the amplifier 1740. Also, a feedback capacitor C_(f) 1755 connects the inverting input 1740 i to the output 1740 o of the amplifier 1740.

The output 1740 o of the amplifier 1740 may be connected to a load capacitor 1760, which is also connected to ground 1735. The result of the output 1740 o is the output voltage V_(out) 1765.

Accordingly, instead of the tunneling-injection mechanisms, MOS-Bipolar pseudo-resistor elements can be used to provide a DC path from output to the floating node. This feedback scheme has been applied with CMUTs, which have been developed for ultrasonic imaging. A MOS-Bipolar pseudo-resistor is the pMOS transistor with connections from the gate to the drain, and from the well to the source. It can be used to provide DC path, and exhibits very large resistance (exceeding 10¹²Ω) when the cross voltage is approximately zero. This pseudo-resistor element has been used in neural recording applications and Quasi-floating gate transistors. To extend the output linearity, two pseudo-resistors may be implemented in series from the output to the floating node.

The measurement setup is shown in FIG. 16. The peizo transducer 1715 may be used to generate plane waves at approximately 1 MHz using 16V peak, 5 cycle tone bursts at its input. The CMUT receiver may be biased to 90 V DC at one of its terminals, and the other terminal may be connected to the sensing amplifier input. The CMUT 1603 and the piezo device 1715 are preferably submerged in oil 1710, or other fluid, during the measurement. The capacitance of the CMUT sensor is about 2 pF and the maximum variance is about 1%. One version of our capacitive sensing amplifier with MOS-Bipolar pseudo-resistors feedback is used for recording the received and echo signals from the CMUT devices.

FIG. 17 is a graphical representation illustrating a waveform from the capacitive feedback amplifier using MOS-BJT (metal-oxide semiconductor—bipolar junction transistor) pseudo-resistor feedback scheming, in accordance with an exemplary embodiment of the present invention.

The resulting waveforms from the measurement setup of FIG. 16 are depicted in FIG. 17. The initial, highly distorted signal is due to electromagnetic feedthrough. After about 1.5 microseconds the first acoustic signal arrives from the piezo transducer to the CMUT, which corresponds to a distance of about 2.2 cm in oil. By altering this distance and the relative alignment of the piezo and CMUT, the received signal and multiple echoes change drastically. Some exemplary parameters for CMUT measurement are listed in Table III. TABLE III CMUT MEASUREMENT PARAMETERS Amplifier Power Supply 3.3 V CMUT Bias Voltage 90 V CMUT Capacitance 2 pF Piezo Transducer Frequency 1 MHz CMUT and Piezo Transducer Spacing 2.2 cm

In addition to the aforementioned schemes for auto-zeroing, a switch may be used to reset the charge before the capacitive sensing amplifier is effective in a sensing mode. The sensing signals are read after the output is settled from the perturbation of charge sharing and clock feedthrough. This method can be used in CMUT sensor array where the capacitive amplifiers are multiplexed.

Accordingly, by using a floating node in the capacitive feedback amplifier structure, the SNR may be improved by the product of the load and the sum of input and parasitic capacitors. Because large size capacitors and high frequency clocks or modulation signals are avoided, ultra-low power operation can be achieved by making use of the subthreshold region. Several methods including pseudo-resistor feedback, tunneling-injection adaptation, and switch reset schemes can be used to set the charge on the floating node without affecting the circuit performance with very low power consumption. In addition, this technique has been demonstrated for a MEMS sensor microphone and CMUT devices. The same technique can also be used in general capacitive sensing applications and have a significant impact on MEMS applications. The result is a lower power, and smaller die size solution.

While the various embodiments of this invention have been described in detail with particular reference to exemplary embodiments, those skilled in the art will understand that variations and modifications can be effected within the scope of the invention as defined in the appended claims. Accordingly, the scope of the various embodiments of the present invention should not be limited to the above discussed embodiments, and should only be defined by the following claims and all applicable equivalents. 

1. A capacitive sensing circuit comprising: a capacitive sensor having a sensor output; a programming circuit having a programming circuit output coupled to the sensor output of the capacitive sensor; and an amplifier having a first amplifier input and an amplifier output, the first amplifier input being coupled to the programming circuit output of the programming circuit.
 2. The circuit according to claim 1, wherein the amplifier is a first order amplifier.
 3. The circuit according to claim 1, wherein the capacitive sensor is a MEMS sensor.
 4. The circuit according to claim 1, wherein the capacitive sensor is a CMUT.
 5. The circuit according to claim 1, the programming circuit further having a programming circuit input, wherein the programming circuit input of the programming circuit is coupled to the amplifier output of the amplifier.
 6. The circuit according to claim 1, wherein the sensor output of the capacitive sensor is coupled to the first amplifier input of the amplifier through a capacitor network.
 7. The circuit according to claim 1, wherein the programming circuit is adapted to control a charge on the first amplifier input of the amplifier.
 8. The circuit according to claim 1, further comprising a buffer circuit having a buffer input coupled to the amplifier output of the amplifier, and a buffer output.
 9. The circuit according to claim 8, further comprising a comparator having an inverting input and a non-inverting input, the non-inverting input coupled to the buffer output of the buffer.
 10. The circuit according to claim 9, wherein the inverting input of the comparator is adapted to receive a comparator voltage.
 11. The circuit according to claim 10, wherein a comparator output of the comparator is connected to a drain of a programming transistor in the programming circuit.
 12. The circuit according to claim 1, wherein the programming circuit comprises: a programming transistor having a source, a floating gate and a drain; and wherein the floating gate is the programming circuit output.
 13. The circuit according to claim 12, further comprising a tunneling capacitor having a first terminal and a second terminal, the first terminal coupled to the first amplifier input of the amplifier, and the second terminal adapted to receive a tunneling voltage.
 14. The circuit according to claim 12, further comprising a first capacitor having a first terminal and a second terminal, the first terminal coupled to the floating gate of the programming transistor, and the second terminal coupled to a ground.
 15. The circuit according to claim 1, wherein the programming circuit comprises a pseudo resistor having a first terminal and a second terminal.
 16. The circuit according to claim 15, wherein the pseudo resistor comprises: a first transistor having a first source, a first drain, a first gate, and a first well; a second transistor having a second source, a second drain, a second gate, and a second well; wherein the second drain, the second gate, the first source and the first well are coupled together; wherein the second source and the second well are coupled to the first terminal; and wherein the first drain and the first gate are coupled to the second terminal.
 17. The circuit according to claim 1, wherein the programming circuit comprises an active transistor feedback circuit.
 18. An optimized capacitive sensing circuit with a predetermined maximum output linear range ΔV_(out,max) and desired signal-to-noise ratio SNR, the circuit comprising: a capacitive sensor having a sensor capacitance C_(sensor), a maximum capacitance change ΔC_(max), a first input connected to a bias voltage V_(bias) and a floating output; an amplifier having maximum input linear range ΔV_(in,max), a first input and a first output, the first input being coupled to the floating output of the capacitive sensor; a feedback capacitor having a first terminal coupled to the first output and the amplifier and a second terminal coupled to the first input of the amplifier, the feedback capacitor having a capacitance C_(f) represented by the equation $C_{f} = {{\frac{V_{bias}}{\Delta\quad V_{{out},\max}} \cdot \Delta}\quad{C_{\max}.}}$
 19. The circuit of claim 18, further comprising a parasitic capacitor C_(w) having a first terminal coupled to the floating output of the capacitive sensor and a second terminal coupled to ground, the parasitic capacitor C_(w) having a capacitance represented by the equation $C_{w} \geq {{\frac{\Delta\quad V_{{i\quad n},\max}}{\Delta\quad V_{{out},\max}}C_{f}} - {C_{sensor}.}}$
 20. The circuit of claim 19, further comprising a load capacitor C_(L) having a first terminal coupled to the first output of the amplifier and a second terminal coupled to ground, the load capacitor C_(L) having a capacitance represented by the equation ${C_{L} \geq {\frac{{nqU}_{T}}{2\quad\kappa\quad\Delta\quad V_{{i\quad n},\max}^{2}} \cdot \frac{C_{f}}{\left( {C_{sensor} + C_{w}} \right)} \cdot {SNR}}},$ wherein n represents an effective number of noisy transistors in the amplifier, q represents a charge of an electron, κ represents a subthreshold slop coefficient of the transistor in the amplifier, and U_(T) represents a thermal voltage and SNR represents the desired signal to noise ratio of the circuit.
 21. The circuit of claim 20, wherein ${\Delta\quad V_{{i\quad n},\max}} \approx {\frac{2U_{T}}{\kappa}\quad{and}\quad C_{L}} \geq {\frac{{nq}\quad\kappa}{8U_{T}} \cdot \frac{C_{f}}{\left( {C_{sensor} + C_{w}} \right)} \cdot {{SNR}.}}$
 22. The circuit of claim 19, wherein the amplifier is a first order amplifier operable over a bandwidth of interest BW, with a transconductance G_(m), the transconductance G_(m) being represented by the equation $G_{m} \geq {2{\pi \cdot {BW} \cdot {\frac{\left( {C_{sensor} + C_{w}} \right) \cdot C_{L}}{C_{f}}.}}}$
 23. The circuit of claim 22, wherein the amplifier has an output resistance R_(o) represented by the equation $R_{o}\operatorname{>>}{\frac{\left( {C_{sensor} + C_{w}} \right)}{G_{m} \cdot C_{f}}.}$
 24. A method of optimizing a capacitive sensing circuit with a predetermined maximum output linear range ΔV_(out,max) and desired signal-to-noise ratio SNR, the capacitive sensing circuit comprising a capacitive sensor having a sensor capacitance C_(sensor), a maximum capacitance change ΔC_(max), a first input connected to a bias voltage V_(bias) and a floating output; an amplifier having maximum input linear range ΔV_(in,max), a first input and a first output, the first input being coupled to the floating output of the capacitive sensor; the method comprising the step of: providing a feedback capacitor having a first terminal coupled to the first output of the amplifier and a second terminal coupled to the first input of the amplifier, the feedback capacitor having a capacitance C_(f), represented by the equation $C_{f} = {{\frac{V_{bias}}{\Delta\quad V_{{out},\max}} \cdot \Delta}\quad{C_{\max}.}}$
 25. The circuit of claim 24, further comprising the step of: providing a parasitic capacitor C_(w) having a first terminal coupled to the floating output of the capacitive sensor and a second terminal coupled to ground, the parasitic capacitor C_(w) having a capacitance represented by the equation $C_{w} \geq {{\frac{\Delta\quad V_{{i\quad n},\max}}{\Delta\quad V_{{out},\max}}C_{f}} - {C_{sensor}.}}$
 26. The circuit of claim 25, further comprising the step of: providing a load capacitor C_(L) having a first terminal coupled to the first output of the amplifier and a second terminal coupled to ground, the load capacitor C_(L) having a capacitance represented by the equation ${C_{L} \geq {\frac{{nqU}_{T}}{2\quad\kappa\quad\Delta\quad V_{{i\quad n},\max}^{2}} \cdot \frac{C_{f}}{\left( {C_{sensor} + C_{w}} \right)} \cdot {SNR}}},$  wherein n represents an effective number of noisy transistors in the amplifier, q represents a charge of an electron, κ represents a subthreshold slop coefficient of the transistor in the amplifier, and U_(T) represents a thermal voltage and SNR represents the desired signal to noise ratio of the circuit.
 27. A method of controlling a charge on a floating node between a capacitive sensor and an amplifier using a programming transistor having a source, a floating gate, and a drain, the method comprising: applying a first predetermined voltage signal to the source of the programming transistor; applying a second predetermined voltage signal to the floating gate of the programming transistor; and applying a third predetermined voltage signal to the drain of the programming transistor until a charge on the floating gate of the programming transistor reaches a predetermined value, wherein the charge on the floating gate of the programming transistor drives the charge on the floating node to the predetermined value.
 28. A capacitive sensing circuit comprising: a programming circuit having a programming circuit output adapted for coupling to a sensor output of a capacitive sensor; and an amplifier having a first amplifier input and an amplifier output, the first amplifier input being coupled to the programming circuit output of the programming circuit; wherein the programming circuit programs a charge on a connection node between the programming circuit output and the first amplifier input. 